Brain mechanisms of motor control

Nano-Fabrication,Nano-Structured Materials,Optoelectronics & Spectroscopy

Material synthesis, defects, optical spectroscopy, neuromorphic computing

Information theory, statistical learning, computational algebra

Molecular simulation and coarse-graining methods. Membrane biophysics. Mechanobiology.

Large scale computational model of fusion plasmas

Systems theory, probabilistic graphical models, stochastic processes, geometric tessellation

Physics at low dimensions: Interaction in quantum dots and quantum wires,

Neural Circuits, Plasticity and Degeneracy, Pain and Itch, Animal Behavior, Machine Vision

Systems neuroscience, Motor learning, Decision making, Reinforcement learning

Learning and Memory

Interests relevant to BCD:- Time series analysis; Understanding EEG/ECG by nonlinear dynamical methods; Fluid dynamics; Computational astrophysics and data analysis

Digital signal processing, information theory, estimation theory

Bio-inspired speech/audio processing, Image processing, Biomedical

Neuromorphic computing, mixed signal VLSI systems, computational neuroscience,

Machine learning, convex optimization, bioinformatics

ML/AI in Geoscience Applications, Bayesian Inference, Uncertainty Quantification, Spatio-temporal Data Analytics, and Reinforcement Learning

Signal Processing at Synapse, Information Processing, Nanoscopy, Neuromorphic Microscopy

Nonlinear dynamics, time-series analysis

Neuronal excitation, Ion channels, Molecular Neuroscience, Epilepsy, Aging

Minimally invasive and non-invasive technologies, Implantable Microchips,

Signal Processing Theory and Applications, Wireless Communication Systems

Machine learning, natural language processing, data integration, cognitive science.

Material science, Ferroic materials, memristors, domain boundary engineering,

Computational methods in medical imaging, multi-modal imaging,

Human speech communication, signal and information processing, machine learning, text analytics

Deep Learning, Representation Learning, Applications to Digital Healthcare

Deep Low Level Vision, Object Category Understanding, Feature Representations.

Communication, computation, and control over networks, decentralised algorithms

Image and video signal processing, computer vision

Cellular Neurophysiology, Biophysics of Neurons and Computational Neuroscience.

VLSI – Nano technology, nano scale semiconductor device, computational nanoelectronics

Data-driven Modelling, Physics Informed Neural Networks, Machine Learning at Scale, MLOps

Machine Learning, Pattern Recognition, Data Mining, Learning Automata, Statistical issues in Machine Learning.

Performance analysis, stochastic control and optimization, simulation, communication networks

Information theory, coding and signal processing for data storage,

Robotic systems, be it control or learning or optimization.

Interface of computer science and microeconomics & algorithmic aspects of fair division.

Automated theorem proving; Topology & Geometry

Computer Vision, Machine Learning

Visual perception, object recognition

Brain-inspired computing, Edge computing, Molecular electronics, Nano electronics, Chaos

Cognition, Computation and Behaviour

Cognitive Neuroscience, Emotion, Reward, Cognition, Behavior, Brain imaging

Signal processing, machine learning, deep learning and neuroscience

Biological transport processes, Cellular signal processing, Spatiotemporal organization of cell signaling, Viral evolution

Signal Processing Theory and Applications, Graph Signal Processing, Network Sciences

Neural mechanisms of gamma oscillations, Origins of various brain signals

Communication Networks – Communication systems, sensor networks, energy harvesting systems.

Scientific visualization, computational topology, computational geometry, and geometry processing

Nano-Biotechnology, Biosensors, Interfaces To Neuronal Networks, Neuro-Electronics,Neuronal Networks

Apply game theory, mechanism design, and artificial intelligence techniques to research problems  at the interface of computer science and economics.

Cloud and Edge Computing, Distributed Graph Processing Platforms